AI 360 Accelerate Your AI Journey
AI 360
Solution Overview
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Customer Problem
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AI initiatives fail to deliver measurable ROI
Many organizations invest heavily in AI, but projects remain stuck at the POC stage with no clear business value, success metrics, or path to production—resulting in wasted budget and lost executive confidence. -
Fragmented AI and data ecosystems increase costs
Multiple tools, platforms, and disconnected teams lead to duplicated efforts, higher total cost of ownership, and inconsistent AI capabilities across the enterprise. -
Disconnected POCs do not scale enterprise-wide
AI experiments are often built in isolation without reusable components, standard architecture, or operational readiness, making scaling slow, risky, and expensive. -
Lack of governance, security, and Responsible AI
Immature governance models expose organizations to compliance, privacy, bias, and security risks—especially when using GenAI and third-party models. -
Unclear ownership and operating models for AI
Without defined roles, processes, and Centers of Excellence, organizations struggle to coordinate AI initiatives, prioritize use cases, and sustain long-term value.
EPAM Solution
EPAM AI 360 addresses fragmented, low-ROI AI initiatives by providing a composable framework that guides organizations from AI strategy to production-ready solutions. Customers use the AI 360 to identify high-value use cases, assess organizational and technical readiness, and establish a scalable, governed AI foundation aligned with business goals.
Through the 12-week AI 360 Quick Start, customers engage in structured workshops, use case prioritization, and rapid MVP development to achieve fast proof of value. EPAM applies reusable accelerators, vendor-agnostic architecture, and built-in Responsible AI practices to reduce risk, control costs, and speed up delivery.
The solution is used by business and technology teams to build, operate, and scale AI products across domains. It enables productivity improvements, decision support, automation, predictive analytics, and generative AI use cases while ensuring security, compliance, and continuous optimization as AI maturity grows.
Key Differentiators
Value-Driven AI 360 Framework
Connects AI initiatives to business value, ROI, and top use cases—not just experimentation.
12-Week Path from Idea to Production
Proven Quick Start approach that delivers production-ready AI products in weeks, not years.
Composable & Vendor-Agnostic Platform
Modular architecture avoids vendor lock-in and enables flexible scaling across clouds, models, and enterprise needs.
Benefits
Faster Time to Business Impact
Deploy AI solutions in weeks with our proven 12-week Quick Start program.
Measurable ROI from AI Investments
Prioritize value-driven use cases with clear KPIs and ROI tracking from day one.
Lower AI Cost at Scale
Reduce TCO through reusable platform components and bundled AI capabilities.
Enterprise-Ready AI Governance
Built-in Responsible AI ensures security, compliance, and risk control at scale.
Scalable AI Across the Enterprise
Move from isolated POCs to reusable AI products deployed across domains.
Improved Productivity & Decision-Making
Enable GenAI, analytics, and automation to enhance speed and quality of work.
Features
- AI 360 Quick Start Program: Delivers a structured 12-week engagement to move from AI assessment to production-ready solutions.
- Use Case Discovery & Prioritization Framework: Identifies, scores, and prioritizes AI use cases based on business value, feasibility, and strategic alignment.
- Composable AI Platform Architecture: Provides a modular, vendor-agnostic foundation for data ingestion, model orchestration, and AI product delivery.
- Built-in Responsible AI & Governance: Embeds security, compliance, explainability, and risk controls across the AI lifecycle.
- AI Product Engineering & Operationalization: Enables development, deployment, monitoring, and continuous improvement of AI and GenAI products.
- MLOps & LLMOps Enablement: Supports model lifecycle management, monitoring, retraining, and performance optimization.
- Scalable Operating Model & CoE Support: Establishes roles, processes, and Centers of Excellence to scale AI across the enterprise.
Questions & Answers
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